Abstract: Compounds of the formula (I): wherein A and B together represent an optionally substituted, fused aromatic ring; X can be NRX or CRXRY; if X=NRX then n is 1 or 2 and if X=CRXRY then n is 1; RX is selected from the group consisting of H, optionally substituted C1-20 alkyl, C5-20 aryl, C3-20 heterocyclyl, amido, thioamido, ester, acyl, and sulfonyl groups; RY is selected from H, hydroxy, amino; or RX and RY may together form a spiro-C3-7 cycloalkyl or heterocyclyl group; RC1 and RC2 are both hydrogen, or when X is CRXRY, RC1, RC2, RX and RY, together with the carbon atoms to which they are attached, may form an optionally substituted fused aromatic ring; and R1 is selected from H and halo.

Abstract: Described is a folding portable luggage scale. The folding portable luggage scale includes multiple folding arms connected via hinges, multiple load sensors, and an electronics housing including electronic components and a digital display. Electrical wires connect each load sensor with the electronics housing. The folding portable luggage scale is compact and lightweight for storage in luggage during travel.

Abstract: A securing device (10) for securing a first object (320) relative to a second object (322), the securing device (10) being configured to frictionally maintain its position relative to the objects and to itself, includes a device body (12) having a first end (12A), an opposed second end (12B), and a cross-sectional area. The device body (12) is formed from a material so that the device body (12) exhibits tensile strength of greater than four thousand five hundred kPa and less than nine thousand three hundred kPa. The material that forms the device body (12) has an average coefficient of static friction of greater than 0.75 and less than 1.75 relative to itself. A ratio of the tensile strength (in kPa) to the cross-sectional area (in square millimeters) is greater than 40:1 and less than 100:1. The material that forms the device body (12) can include thermoplastic elastomers, and can further include styrene.

Abstract: Described is a powered massage head. The powered massage includes an exterior portion, an interior portion, a top portion, and a bottom portion. The top portion is formed to contact a portion of a user's body. A motor is housed within the interior portion and a power source within the interior portion is configured for providing power to the motor. A control mechanism within the interior portion controls the motor. The powered massage head may be formed to attached with a massage board for use, or formed to be used independently.

Abstract: The invention provides compounds of formula (I): wherein X is and the variables are defined in the specification, or a pharmaceutically-acceptable salt thereof, that are useful as JAK kinase inhibitors. The invention also provides pharmaceutical compositions comprising such compounds, methods of using such compounds to treat respiratory diseases, and processes and intermediates useful for preparing such compounds.

Abstract: The invention provides compounds of formula (I): which contain a 4-membered heterocyclic amide, where the variables are defined in the specification, or a pharmaceutically-acceptable salt thereof, that are useful as JAK kinase inhibitors. The invention also provides pharmaceutical compositions comprising such compounds, methods of using such compounds to treat respiratory diseases, and processes and intermediates useful for preparing such compounds.

Abstract: The invention provides compounds of formula (I): where the variables are defined in the specification, or a pharmaceutically-acceptable salt thereof, that are useful as JAK kinase inhibitors. The invention also provides pharmaceutical compositions comprising such compounds, methods of using such compounds to treat respiratory diseases, and processes and intermediates useful for preparing such compounds.

Abstract: A securing device (10) for securing a first object (320) relative to a second object (322), the securing device (10) being configured to frictionally maintain its position relative to the objects and to itself, includes a device body (12) having a first end (12A), an opposed second end (12B), and a cross-sectional area. The device body (12) is formed from a material so that the device body (12) exhibits tensile strength of greater than four thousand five hundred kPa and less than nine thousand three hundred kPa. The material that forms the device body (12) has an average coefficient of static friction of greater than 0.75 and less than 1.75 relative to itself. A ratio of the tensile strength (in kPa) to the cross-sectional area (in square millimeters) is greater than 40:1 and less than 100:1. The material that forms the device body (12) can include thermoplastic elastomers, and can further include styrene.

Abstract: The present disclosure describes systems, methods, and non-transitory computer readable media for detecting user interactions to edit a digital image from a client device and modify the digital image for the client device by using a web-based intermediary that modifies a latent vector of the digital image and an image modification neural network to generate a modified digital image from the modified latent vector. In response to user interaction to modify a digital image, for instance, the disclosed systems modify a latent vector extracted from the digital image to reflect the requested modification. The disclosed systems further use a latent vector stream renderer (as an intermediary device) to generate an image delta that indicates a difference between the digital image and the modified digital image. The disclosed systems then provide the image delta as part of a digital stream to a client device to quickly render the modified digital image.

Abstract: Described is a weighing luggage rack having a rack portion with a top section and a bottom section, and a platform portion connected with the top section of the rack portion. In use, the platform portion is stacked on top of the rack portion. The weighing luggage rack further includes a weighing mechanism, and an electronic display configured to display a weight of an object placed thereon. Further embodiments include a weighing luggage rack with only a rack portion and a weighing luggage rack with only a platform portion.

Abstract: A securing device (10) for securing a first object (320) relative to a second object (322) includes a device body (12) that is formed from a material so that the device body (12) exhibits elongation of greater than four hundred percent. The material that forms the device body (12) has (i) an average dielectric strength of greater than 200 volts per mil and less than 700 volts per mil at 75 degrees Fahrenheit, and (ii) an average breakdown voltage of greater than 30,000 volts and less than 60,000 volts at 75 degrees Fahrenheit. The device body (12) is also formed from the material so that the device body (12) exhibits a tensile strength of between four thousand five hundred kPa and nine thousand three hundred kPa. The material that forms the device body (12) can include thermoplastic elastomers, and can further include styrene.

Abstract: A securing device (10) for securing a first object (320) relative to a second object (322) includes a device body (12) having a cross-sectional area, and which is formed from a material so that the device body (12) exhibits elongation of between six hundred percent and eight hundred percent. A ratio of the elongation (in percent) to the cross-sectional area (in square millimeters) is between approximately 5:1 and 10:1. The device body (12) is also formed from the material so that the device body (12) exhibits a tensile strength of between four thousand five hundred kPa and nine thousand three hundred kPa. A ratio of the tensile strength (in kPa) to the cross-sectional area (in square millimeters) is between approximately 50:1 and 85:1. The material that forms the device body (12) has an average kinetic coefficient of friction of between approximately 1.35 and 1.60 relative to itself. The material that forms the device body (12) can include thermoplastic elastomers, and can further include styrene.

Abstract: Systems and methods train an encoder neural network for fast and accurate projection into the latent space of a Generative Adversarial Network (GAN). The encoder is trained by providing an input training image to the encoder and producing, by the encoder, a latent space representation of the input training image. The latent space representation is provided as input to the GAN to generate a generated training image. A latent code is sampled from a latent space associated with the GAN and the sampled latent code is provided as input to the GAN. The GAN generates a synthetic training image based on the sampled latent code. The sampled latent code is provided as input to the encoder to produce a synthetic training code. The encoder is updated by minimizing a loss between the generated training image and the input training image, and the synthetic training code and the sampled latent code.

Abstract: An improved system architecture uses a pipeline including a Generative Adversarial Network (GAN) including a generator neural network and a discriminator neural network to generate an image. An input image in a first domain and information about a target domain are obtained. The domains correspond to image styles. An initial latent space representation of the input image is produced by encoding the input image. An initial output image is generated by processing the initial latent space representation with the generator neural network. Using the discriminator neural network, a score is computed indicating whether the initial output image is in the target domain. A loss is computed based on the computed score. The loss is minimized to compute an updated latent space representation. The updated latent space representation is processed with the generator neural network to generate an output image in the target domain.

Abstract: Systems and methods generate a filtering function for editing an image with reduced attribute correlation. An image editing system groups training data into bins according to a distribution of a target attribute. For each bin, the system samples a subset of the training data based on a pre-determined target distribution of a set of additional attributes in the training data. The system identifies a direction in the sampled training data corresponding to the distribution of the target attribute to generate a filtering vector for modifying the target attribute in an input image, obtains a latent space representation of an input image, applies the filtering vector to the latent space representation of the input image to generate a filtered latent space representation of the input image, and provides the filtered latent space representation as input to a neural network to generate an output image with a modification to the target attribute.

Abstract: An improved system architecture uses a Generative Adversarial Network (GAN) including a specialized generator neural network to generate multiple resolution output images. The system produces a latent space representation of an input image. The system generates a first output image at a first resolution by providing the latent space representation of the input image as input to a generator neural network comprising an input layer, an output layer, and a plurality of intermediate layers and taking the first output image from an intermediate layer, of the plurality of intermediate layers of the generator neural network. The system generates a second output image at a second resolution different from the first resolution by providing the latent space representation of the input image as input to the generator neural network and taking the second output image from the output layer of the generator neural network.

Abstract: Systems and methods dynamically adjust an available range for editing an attribute in an image. An image editing system computes a metric for an attribute in an input image as a function of a latent space representation of the input image and a filtering vector for editing the input image. The image editing system compares the metric to a threshold. If the metric exceeds the threshold, then the image editing system selects a first range for editing the attribute in the input image. If the metric does not exceed the threshold, a second range is selected. The image editing system causes display of a user interface for editing the input image comprising an interface element for editing the attribute within the selected range.

Abstract: An improved system architecture uses a pipeline including an encoder and a Generative Adversarial Network (GAN) including a generator neural network to generate edited images with improved speed, realism, and identity preservation. The encoder produces an initial latent space representation of an input image by encoding the input image. The generator neural network generates an initial output image by processing the initial latent space representation of the input image. The system generates an optimized latent space representation of the input image using a loss minimization technique that minimizes a loss between the input image and the initial output image. The loss is based on target perceptual features extracted from the input image and initial perceptual features extracted from the initial output image. The system outputs the optimized latent space representation of the input image for downstream use.